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Sr Enterprise Data Platform and Engineering

Job in Katy, Harris County, Texas, 77494, USA
Listing for: Academy Sports + Outdoors
Full Time position
Listed on 2026-09-15
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

Who We Are

At Academy Sports + Outdoors our vision is to be the best sports + outdoors retailer in the country — but what truly sets us apart is our people. We’re a passionate, purpose-driven team that’s as committed to each other as we are to our customers.

We’ve spent over 80 years building a culture that puts people first. We believe in creating opportunities for growth, fostering meaningful connections, and supporting every Team Member’s journey. What fuels us? Our belief in the power of fun.

Here, you won’t just help customers gear up for their next adventure — you’ll launch one of your own. Whether you're starting out or leveling up, Academy is a place where fun can’t lose!

What You Will Work On

In this role, you shape the enterprise data platform that teams rely on for secure, scalable, and dependable data integration. Your work strengthens the infrastructure and platform capabilities that move data across the organization, helping Data Products, Analytics Engineering, and business stakeholders access trusted and governed solutions. By improving reliability, performance, security, and operational efficiency, you create a stronger foundation for enterprise data consumption.

Working across cloud-based data ecosystems, you design and maintain platform services, ingestion frameworks, orchestration workflows, and ELT/ETL integration patterns. You lead modernization through automation, CI/CD, infrastructure-as-code, and deployment optimization while advancing monitoring, observability, alerting, lineage, metadata, and operational support. You also establish engineering standards and reusable frameworks, guide technical initiatives, evaluate emerging technologies, and help the team improve platform capabilities and engineering effectiveness.

Who

You Will Work With

You will collaborate with Data Products, Analytics Engineering, and business stakeholders to deliver data solutions that are trusted, governed, and accessible. These partnerships connect platform engineering decisions with the teams and business needs that depend on reliable enterprise data.

Within the Data Platform Engineering team, you will provide technical leadership, mentorship, guidance, and knowledge sharing across development and operational initiatives. You will also influence cross-functional teams by communicating technical concepts clearly to both technical and non-technical stakeholders.

What You Bring

Bring your energy, your ideas, and your love for sports and the outdoors.

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Engineering, or related field required
  • 7+ years of experience in Data Engineering, Platform Engineering, Cloud Engineering, or related disciplines
  • Experience designing, implementing, and supporting large-scale enterprise data platforms and integration solutions
  • Experience with cloud platforms, including Google Cloud Platform (GCP)
  • Experience developing and supporting data orchestration, streaming technologies, CI/CD pipelines, infrastructure automation, and observability solutions
  • Experience implementing security, governance, metadata management, lineage, and data quality frameworks
  • Retail or related industry experience preferred
  • Strong knowledge of enterprise data platform architecture, cloud-native engineering, and data integration patterns
  • Experience designing and supporting ELT/ETL frameworks, ingestion services, and enterprise data pipelines
  • Strong proficiency with SQL, Python, Big Query scripting, or similar technologies
  • Experience with Google Big Query, DBT Core, Open Metadata, Cube Cloud, Composer, Datastage, Confluent Kafka, Go Anywhere, or similar technologies
  • Experience implementing CI/CD pipelines, infrastructure automation, monitoring, and observability solutions
  • Strong…
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